Provide the team with leading edge technical expertise in risk measurement and modeling, such as the development of risk rating and portfolio loss models and risk pricing tools.

Lead own workstreams in client engagements (such as the development of a rating model). For example: -
     o Interview members of the client organization at all levels and review client materials to develop a model building approach;
     o Define data requirements and work with client team members to collect data;
     o Analyze and interpret data and statistical modeling output;
     o Manage client team members and their Risk Modeling Group at the Analytics Centre in conducting such tasks as data cleaning, aggregation, and analysis, including the development of risk models.

Actively transfer risk management skills (including technical risk modeling skills) to clients.

Support the implementation of new or improved risk management tools, including the assessment of changes in a client's organization and processes necessary to ensure that risk management is properly executed and the benefits of new tools are fully captured; the description of business requirements for IT implementation; the development of workplans; and the preparation and execution of pilots.

Be an active partner in the team problem solving process. For example, identify data issues and implementation barriers and pragmatic solutions to overcome these; frame key hypotheses to guide the team's problem solving; and provide relevant experiences and frameworks to help the client and client service team to make trade-off decisions.

Work with the team to translate insights from various analyses into specific and actionable business recommendations, and present these to the client's management team members.

Capture and codify knowledge from the engagement to develop the practice knowledge infrastructure.

Identify opportunities for new knowledge development and participate in knowledge development projects.

Support the RMP leadership in client development situations.

Outstanding analytical and problem solving skills, including the ability to disaggregate issues, develop hypotheses, and develop actionable recommendations from data and analysis.

Excellent written and verbal communication skills. Fluent in both written and spoken English; international experience (including work in a multi-national environment) desirable.

Demonstrated leadership ability (at school, work, or elsewhere).

Strong interpersonal skills with a demonstrated ability to influence others with non-threatening methods.

Energetic, cooperative and pleasant personality. Able to get involved with and deal effectively with a diverse group and client professionals.

Flexibility, patience, and an understanding of fluid, demanding, and unstructured environments where priorities evolve constantly and methodologies are regularly challenged.
Education & Previous Experience Required: -

Post-graduate degree (preferably in Statistics or an MBA or Economics degree with a strong quantitative underpinning) from a respected institution (e.g., IIMs) with an outstanding academic record.

Minimum of 5 years of professional work experience with atleast 2 years of experience in risk management.

At least part of the practical experience should relate specifically either to the banking or insurance sector or to credit risk (also in a non-banking context).

Quantitative risk management experience is highly desirable.